Generative AI Based Client Server Architecture for Mobile Computing

In a traditional, well-known client-server architecture, the client sends a request to the server, and the server prepares the response by executing business logic that utilizes information from static files or a database. With the introduction of generative AI, the server- side architecture has evolved to include generative AI, enhancing the server's ability to generate responses for the client. This study compares traditional clientserver architectures with generative AI-based architectures and presents a case study that uses a specific Generative AI model to develop a mobile application.

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Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/compsystech65493.2025.11137273
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI Based Client Server Architecture for Mobile Computing

Esma Yildirim, Ensar Gül
IoT and Edge/Fog Computing
article

Generative AI Based Client Server Architecture for Mobile Computing

Esma Yildirim, Ensar Gül
article en

Abstract

In a traditional, well-known client-server architecture, the client sends a request to the server, and the server prepares the response by executing business logic that utilizes information from static files or a database. With the introduction of generative AI, the server- side architecture has evolved to include generative AI, enhancing the server's ability to generate responses for the client. This study compares traditional clientserver architectures with generative AI-based architectures and presents a case study that uses a specific Generative AI model to develop a mobile application.

Turkcell (Turkey) (TR), Maltepe University (TR)
Openalex Percentile: Top 74%
IoT and Edge/Fog Computing
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